Publications by authors named "U S Agrawal"
Background: There are gaps in our understanding of the clinical characteristics and disease burden of the respiratory syncytial virus (RSV) among community-dwelling adults. This is in part due to a lack of routine testing at the point of care. More data would enhance our assessment of the need for an RSV vaccination program for adults in the United Kingdom.
View Article and Find Full Text PDFAutoimmune hemolytic anemia is a disorder that is characterized by the destruction of red blood cells through an autoimmune process, such as temperature-dependent antibodies. The two predominant types, cold agglutinin and warm agglutinin disease, typically possess different underlying etiologies. Prompt recognition and workup of autoimmune hemolytic anemia should be prioritized to potentially uncover any underlying primary cause, such as malignancy.
View Article and Find Full Text PDFThe profile of hypercalcaemia in hospitalized patients in India seems to be changing. However, studies evaluating the profile of hypercalcaemia in hospitalized settings in India are extremely limited. This prospective study aims to evaluate the clinical and biochemical profile of hospitalized patients with hypercalcaemia from a tertiary care centre in north India.
View Article and Find Full Text PDFArticle Synopsis
- - Cerebral palsy (CP) can cause crouch gait due to tight hamstrings, leading to the need for surgical procedures like hamstring lengthening, with new methods like percutaneous techniques emerging as options.
- - A study compared two types of hamstring lengthening surgeries (percutaneous vs. open) in children with spastic diplegic CP, focusing on their impact on gait and knee function.
- - Results showed that both methods significantly improved patient outcomes, with no major differences between them, indicating that percutaneous hamstring lengthening is a safe and effective alternative to traditional surgery.
Article Synopsis
- The biological communication system for neurological disorder patients connects them to the outside world, much like Brain-Computer Interfaces, aiding in real-time communication for paralyzed individuals.
- A novel feature extraction approach using Empirical Mode Decomposition (EMD) analyzes EEG signals, breaking them down into six Intrinsic Mode Functions to identify nine key features that predict a patient's messages.
- The proposed method demonstrated high classification accuracy of 97% on a database and 85% in real-time applications, significantly improving communication capabilities for those with neurological disorders compared to existing methods.